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. 2018 Jul 20;13(7):e0200904. doi: 10.1371/journal.pone.0200904

Table 3. Stochastic actor-based models decomposing interdependent substance use into increases (creation function) and decreases (endowment function).

Effect Sunshine High Jefferson High
Smoking behavior beta
(s.e.)
beta
(s.e.)
Drinking behavior (creation function) 0.08
(0.13)
0.00
(0.07)
Marijuana use (creation function) 0.48***
(0.12)
0.24
(0.17)
Drinking behavior beta
(s.e.)
beta
(s.e.)
Smoking behavior (creation function) 0.10
(0.20)
0.10
(0.07)
Marijuana use (creation function) 0.48*
(0.23)
0.47***
(0.14)
Marijuana use beta
(s.e.)
beta
(s.e.)
Smoking behavior (creation function) 0.10
(0.13)
0.08
(0.16)
Drinking behavior (creation function) 0.20
(0.15)
0.21
(0.17)
Smoking behavior beta
(s.e.)
beta
(s.e.)
Drinking behavior (endowment function) 0.11
(0.08)
0.07
(0.08)
Marijuana use (endowment function) 0.20
(0.16)
0.24*
(0.12)
Drinking behavior beta
(s.e.)
beta
(s.e.)
Smoking behavior (endowment function) 0.02
(0.07)
-0.05
(0.06)
Marijuana use (endowment function) 0.22
(0.15)
0.13
(0.12)
Marijuana use beta
(s.e.)
beta
(s.e.)
Smoking behavior endowment function) 0.09
(0.42)
-0.07
(0.19)
Drinking behavior (endowment function) 0.08
(0.35)
-0.17
(0.17)

Notes

1. Both models control for the same effects on substance use dynamics and network dynamics as included in the SAB models shown in Table 1. The parameter estimates and standard deviations are similar. The full results are available from the authors upon request.

2. † Two-sided p<0.1

* Two-sided p<0.05

** Two-sided p<0.01

*** Two-sided p<0.001